Another reason to switch to artificial intelligence to diagnose strokes. Maybe one of these much faster methods:
Hats off to Helmet of Hope - stroke diagnosis in 30 seconds
Microwave Imaging for Brain Stroke Detection and Monitoring using High Performance Computing in 94 seconds
New Device Quickly Assesses Brain Bleeding in Head Injuries - 5-10 minutes
The latest here:
Factors Associated with Stroke Misdiagnosis in the Emergency Department: A Retrospective Case-Control Study
Neuroepidemiology 2018;51:123–127
Abstract
Background: Failure to recognise acute stroke may result in worse outcomes due to missed opportunity for acute stroke therapies. Our study examines factors associated with stroke misdiagnosis in patients admitted to a large comprehensive stroke centre.Methods: Retrospective review comparing 156 consecutive stroke patients misdiagnosed in emergency department (ED) with 156 randomly selected stroke controls matched for age, gender, language spoken and stroke subtype for the period 2014–2016.
Results: There were 141 ischemic and 15 hemorrhagic misdiagnosed strokes (median age: 77 years, male:female = 1.3: 1). Symptom resolution, altered mental status, nausea/vomiting, dizziness and vertigo favored misdiagnosis (p < 0.05). Hemiparesis and dysarthria favored an accurate diagnosis (p < 0.05). Misdiagnosed patients were more commonly triaged into a lower ED category (62 vs. 42%, p = 0.001), clinically assessed as Face, Arm, Speech and Time (FAST) – negative (78 vs. 22%, p < 0.001) and underwent delayed CT imaging (median 4.1 vs. 1.5 h, p < 0.001). Misdiagnosed patients were more likely to have posterior circulation stroke (PCS; 39 vs. 22%, p = 0.01) and be admitted under non-neurological services (35 vs. 11%, p < 0.001) with worse discharge outcomes including increased mortality.
Conclusions: Patients with stroke misdiagnosis were commonly FAST-negative with nonspecific symptoms including altered mental status, dizziness and nausea/vomiting often associated with PCS. Improved diagnostic accuracy may increase access to acute therapies.
© 2018 S. Karger AG, Basel
Venkat A.a · Cappelen-Smith C.a,b,c · Askar S.a,b · Thomas P.R.a,b · Bhaskar S.a,b,c,d,e,f · Tam A.a · McDougall A.J.a,b,c · Hodgkinson S.J.a,b,c · Cordato D.J.a,b,c
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